Data Engineer — Databricks & GCP | Flexible Growth

AgileEngine, LLC.; Aveiro; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

You will design, build and optimize data pipelines across Databricks, PySpark, SQL, and BigQuery, and collaborate with cross-functional teams to expand automation opportunities and ensure data quality.

Qualifications

• 5+ years of hands-on Databricks and PySpark experience.
• Advanced SQL and data-processing skills.
• Hands-on GCP experience, especially BigQuery.
• Experience with Delta Lake and modern lakehouse architectures.
• Strong ETL/ELT design, data pipeline performance optimization and data quality.
• Experience building reliable, scalable production data solutions.
• Strong analytical and troubleshooting abilities.
• Understanding of software engineering practices including testing, version control, deployment and production support.
• Upper-intermediate English level.

Responsibilities

• Design, develop, and optimize scalable ETL/ELT data pipelines with Databricks, PySpark and SQL.
• Build and operationalize agentic workflows to automate data engineering and operational processes.
• Integrate agentic capabilities with Databricks, GCP, BigQuery and Delta Lake environments.
• Develop data pipelines to support new business requirements and datasets.
• Create reusable frameworks and components for data engineering and business use cases.
• Implement data quality checks, monitoring, validation, exception handling and production controls.
• Optimize PySpark and SQL workloads for performance and reliability.
• Support testing, deployment, productionization and ongoing enhancement of data and agentic solutions.
• Troubleshoot complex data and production issues with sustainable solutions.
• Collaborate with business, data engineering and platform teams to identify automation opportunities.

Job description

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

You will design, build and optimize data pipelines across Databricks, PySpark, SQL, and BigQuery, and collaborate with cross-functional teams to expand automation opportunities and ensure data quality.